Core Specialization
AI Agents & Autonomous Systems
Designing autonomous architectures capable of complex reasoning, multi-step planning, and dynamic tool execution.
Autonomous Problem-Solving & Tool Integration
Moving past basic prompt-response paradigms, these intelligent systems interpret high-level intent, plan structured operational pathways, and invoke precise toolsets across external APIs with minimal human intervention.
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Multi-Agent Orchestration: Constructing collaborative agent frameworks using LangGraph and CrewAI to manage specialized workflows.
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Dynamic Tooling: Equipping models with live search capabilities, API connectors, and robust function-calling architectures.
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Reasoning Loops: Implementing self-reflection loops and state management protocols to lower hallucination rates and verify outputs.
Python
LangChain
LangGraph
CrewAI
OpenAI / Anthropic APIs
FastAPI
Vector DBs
Case Study // File 01
Action Detection for Sign Language
Engineered an end-to-end computer vision and deep learning framework to translate continuous spatiotemporal sign gestures into readable text strings in real time.
01. Video Stream Acquisition
Captures live video frames continuously via high-performance OpenCV pipelines.
02. Landmark Feature Extraction
Leverages MediaPipe framework for precise skeletal coordinate tracking across hands and face.
03. Temporal Sequence Modeling
Processes sequential coordinate arrays through LSTM networks to decode fluid movement.
04. Real-Time Transcription
Instantly converts classified sign motions into functional text output streams.
Python
OpenCV
MediaPipe
TensorFlow / Keras
LSTM Architecture